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30 seconds of code

This repository contains short code snippets for all your development needs. The repository mainly focuses on JavaScript and has shortcodes for Python, CSS, Git, and JS Algorithms. They also have a website for ease of access to the content.


Stars: 90k
Forked by: 10k
GitHub repo: https://github.com/30-seconds

#javascript #python #css #git

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𝗘𝗡𝗝𝗢𝗬 𝗟𝗘𝗔𝗥𝗡𝗜𝗡𝗚👍👍
Programming cheat sheets part 1:

HTML5 Cheat Sheet
CSS3 Cheat Sheet
JavaScript Cheat Sheet
Python Cheat Sheet
Java Cheat Sheet

#cheatsheet #HTML5 #CSS3 #javascript #python #javascript

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𝗘𝗡𝗝𝗢𝗬 𝗟𝗘𝗔𝗥𝗡𝗜𝗡𝗚👍👍
Python Data Science Handbook
548 Pages

🔗 PDF
🔗 HTML

#python #datascience

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𝗘𝗡𝗝𝗢𝗬 𝗟𝗘𝗔𝗥𝗡𝗜𝗡𝗚👍👍
Beginner's Series to: Django
by Microsoft

One of the most popular types of web applications to create is one to act as a front-end for a database. These applications focus on a common set of patters where you will allow users to create, retrieve, update and delete (CRUD) data. Creating CRUD applications can sometimes be tedious as large portions of the code are duplicated in your project.


🎬 24 episodes

https://docs.microsoft.com/en-us/shows/beginners-series-to-django/

#django #python #microsoft

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𝗘𝗡𝗝𝗢𝗬 𝗟𝗘𝗔𝗥𝗡𝗜𝗡𝗚👍👍
Python for Everybody (PY4E)
by Charles R. Severance (aka Dr. Chuck)


🎬 17 sections with multiple video lessons
👨‍🏫 Prof. Dr. Charles R. Severance
Completely free

https://www.py4e.com/lessons

#python

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𝗘𝗡𝗝𝗢𝗬 𝗟𝗘𝗔𝗥𝗡𝗜𝗡𝗚👍👍
Graph ML and deep learning courses

This is another post on your request. Other courses you requested will be shared in following days.

Geometric Deep learning course
AMMI21
👨‍🏫 Teachers: Michael M. Bronstein, Joan Bruna, Taco Cohen, Petar Veličković
📚12 lectures, 2 tutorials, and 4 seminars
This course follows GDL BOOK
🔗 Course link: https://geometricdeeplearning.com/lectures/

Machine Learning for Graphs and Sequential Data (MLGS)
by Stephan Günnemann
Awesome course covering in depth generative models, robustness, sequential data, clustering, label propagation, GNNs, and more
🔗 Course link: https://www.in.tum.de/daml/teaching/mlgs/

Stanford CS224W course on graph ML
A legendary Stanford CS224W course on graph ML now releases videos on YouTube for 2021
🎬 60 Videos
30h
🔗 Course link


Python For Data Science (Udemy)
This course specifically created for Data Science / AI / ML / DL. It covers BASICS PYTHON ONLY
Rating ⭐️: 4.1 out of 5
Students 👨‍🎓: 65,523 students
Duration : 3hr 55min of on-demand video
🔗 Course link

Deep Learning Prerequisites: The Numpy Stack in Python V2 (Udemy)
Rating ⭐️: 4.6 out of 5
Students 👨‍🎓: 34,785
Duration : 1hr 59min of on-demand video
🔗 Course link

There is also this cool blogpost by Gordić Aleksa:
How to get started with Graph Machine Learning

And one early access version book:
Graph Powered Machine Learning
by: Allesandro Negro
🔗 Book link

#graphML #ML #machinelearning #deeplearning #python

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𝗘𝗡𝗝𝗢𝗬 𝗟𝗘𝗔𝗥𝗡𝗜𝗡𝗚👍👍
The fundamentals of programming - Python Tutorial

👨‍🏫 Teacher: Annyce Davis
🎬 39 short video lessons
📊 Level: beginner
Free

Topics:

1. Programming Basics
2. Programming Syntax
3. Variables and Data Types
4. Conditional Code
5. Modular Code

🔗 Course link

#python #pythoncourses #linkedinlearning

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𝗘𝗡𝗝𝗢𝗬 𝗟𝗘𝗔𝗥𝗡𝗜𝗡𝗚👍👍
A Byte of Python

"A Byte of Python" is a free book on programming using the Python language. It serves as a tutorial or guide to the Python language for a beginner audience. If all you know about computers is how to save text files, then this is the book for you.

This book serves as a guide or tutorial to the Python programming language. It is mainly targeted at newbies. It is useful for experienced programmers as well.

https://python.swaroopch.com/about_python.html

#python

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𝗘𝗡𝗝𝗢𝗬 𝗟𝗘𝗔𝗥𝗡𝗜𝗡𝗚👍👍
Python from scratch
by University of Waterloo

0. Introduction
1. First steps
2. Built-in functions
3. Storing and using information
4. Creating functions
5. Booleans
6. Branching
7. Building better programs
8. Iteration using while
9. Storing elements in a sequence
10. Iteration using for
11. Bundling information into objects
12. Structuring data
13. Recursion

🔗 https://open.cs.uwaterloo.ca/python-from-scratch/

#python #beginners

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𝗘𝗡𝗝𝗢𝗬 𝗟𝗘𝗔𝗥𝗡𝗜𝗡𝗚👍👍
You asked for Free Django Courses
Here are some:


Django For Everybody - Full Python University Course 2021
by FreeCodeCamp
🎬 17 video lessons
10 hours worth of material
🔗 Course link


Django Tutorial (Create a Blog)
by Net Ninja
🎬 47 video lessons
5 hours worth of material
🔗 Course link

A Beginners Guide to Django!
by Udemy
Learn all the basics of Django through a step-by-step process by creating your very own Polls Application for free!
Rating ⭐️: 4.4 out of 5
Students 👨‍🎓: 78100
Duration : 1hr 46min
🔗 Course link

Getting started with Django
by
djangoproject
🔗 Course link


Python Django Web Framework - Full Course for Beginners
by FreeCodeCamp
🎬 32 video lessons
4 hours worth of material
🔗 Course link

Python 3 na Web com Django (Básico e Intermediário)
by Udemy
Rating ⭐️: 4.4 out of 5
Students 👨‍🎓: 365,277
Duration : 15hr 58min
Language: Portuguese!
🔗 Course link

Django Girls Tutorial
🔗
Course link

Django Tutorials
by Corey Schafer
🎬 17 video lessons
10 hours worth of material
🔗 Course link

Try Django 2.2 - Web Development with Python 3.6+
by Udemy
Teacher 👨‍🏫: Justin Mitchel
Rating ⭐️: 4.3 out of 5
Students 👨‍🎓: 50,695
Duration : 4hr 18min
🔗 Course link

All courses are completely free

#django #python

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𝗘𝗡𝗝𝗢𝗬 𝗟𝗘𝗔𝗥𝗡𝗜𝗡𝗚👍👍
Introduction to Python 3 (basics) - Learning to Program with Python 3
by sentdex

🎬 15 video lessons
📝 blogpost for each lesson

Content:
Tuples, Strings, Loops
Lists and Tic Tac Toe Game
Built-in Functions
Indexes and Slices
Functions
Function Parameters and Typing
Mutability Revisited
Error Handling
Calculating Horizontal Winner (tic tac toe)
Vertical Winners
Diagonal Winners
Bringing Things Together
Wrapping up Tic Tac Toe
Conclusion

🔗 Course link

#python

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𝗘𝗡𝗝𝗢𝗬 𝗟𝗘𝗔𝗥𝗡𝗜𝗡𝗚👍👍
python3-notes.pdf
4.3 MB
An introduction to Python
for absolute beginners
by Bob Dowling

📑457 pages

#python #pythonnotes

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𝗘𝗡𝗝𝗢𝗬 𝗟𝗘𝗔𝗥𝗡𝗜𝗡𝗚👍👍
Machine Learning with Python : COMPLETE COURSE FOR BEGINNERS
Complete Machine Learning Course with Python for beginners
Rating⭐️: 4.6 out 5
Students 👨‍🎓 : 18533
Duration : 13 hours on-demand video
Teacher 👨‍🏫: Prashant Mishra
🔗 Course link


I have noticed this one is currently free (but only for first 1000 enrols !!!) so I thought some of you might be interested 😊

#machinelearning #pythoncourses #python

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𝗘𝗡𝗝𝗢𝗬 𝗟𝗘𝗔𝗥𝗡𝗜𝗡𝗚👍👍